Awesome Temporal & Dynamic
Temporal & Dynamic is one of the most active areas in Awesome Graph Learning — 41 papers in this collection, evaluated on datasets like SEED, METR-LA, PEMS-BAY. A strong starting point is "Graph Neural Networks for Modeling Complex Dependencies in Global Supply Chain Networks".
Datasets & benchmarks
Key papers
- Graph Neural Networks for Modeling Complex Dependencies in Global Supply Chain Networks (2026)Jingyi Liu et al.9.16
- Probabilistic Photovoltaic Power Forecasting with Reliable Uncertainty Quantification via Multi-Scale Temporal–Spatial Attention and Conformalized Quantile Regression (2026)Guanghu Wang et al.7.24
- Graph-Driven Cross-Industry Real-Time Monitoring Framework for Anti-Money Laundering Detection in Converged Mobility-Energy Supply Chain Networks (2026)Rong Liu et al.4.33
- ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability (2026)Hongjiang Chen et al.4.33
- A Hierarchical Spatio-Temporal Graph Attention Network for False Data Injection Attack Detection in Smart Grids (2026)Hongjie Zhang et al.4.26
- Graph Attention-Based Current Crowding Analysis at TSV Interfaces in 3D Power Delivery Networks (2026)Zheng Yang et al.4.26
- FB-GAT: A graph neural networks (GNNs) approach to assessing facades' buildability (2026)Bolun Wang et al.4.26
- Hybrid graph attention network-LSTM models for causal-aware supply chain forecasting (2026)Yue Zhu et al.4.26
- Multi-Dimensional Spectrum Prediction Using Closed-Form Continuous-Time Neural Network With Graph Attention (2026)Ruicheng Li et al.4.26
- Graph Attention Network with Mutual k-Nearest Neighbor Strategy for Predictive Maintenance in Nuclear Power Plants (2026)S. Stefenon et al.2.00
- 2D-CNN-GACL-ECGNet graph attention: a robust framework for electrocardiogram-based stress detection (2026)P. Kavitha et al.2.00
- WRF simulation knowledge sharing based on the MC-GAT model and multi-head attention mechanism: A case study in China (2026)Yazhou Qi et al.2.00
- Federated spatial-temporal traffic forecasting with VMD-enhanced graph attention and LSTM (2026)Tarun Mundada et al.2.00
- MBDSTGAT: A Multibranch Dynamic Spatiotemporal Graph Attention Network With Topology Perturbation for Motor Imagery EEG Decoding (2026)Rui Li et al.2.00
- Enhanced graph attention network by integrating Long Short-Term Memory for artificial emotion representation in multi-modality datasets (2026)Wei Dong et al.2.00
- DP-GAT: A Dual-Position Graph Attention Network for automatic assessment of temporomandibular joint anterior disc displacement from MRI (2026)Yuzhao Liu et al.2.00
- Driving Behavior Modelling with Graph Attention Networks (2026)Omkar Salunke2.00
- Multi-aircraft 4D trajectory cooperative prediction method based on transformer encoder-enhanced spatiotemporal graph attention network (2026)Guiyi Li et al.2.00
- FHGNet: A Feature-Centric Hierarchical Network with Graph Attention Layer for Supraventricular Tachycardia Classification. (2026)Xiaolin Ju et al.2.00
- Collaborative Path Optimization for Technology-Driven Innovation in the Sports Industry Using Enhanced Graph Attention Networks (2026)Zhaoyin Jiang et al.2.00
- Pro-GAT: Reconnecting Fragmented PROTACs Using Graph Attention Transformer (2026)Saahithi Vemuri et al.2.00
- Topology-Cognitive Task Offloading and Resource Allocation: A GAT-Enhanced MADRL Approach (2026)Liangqi Yan et al.2.00
- Graph Attention Networks in Exchange Rate Forecasting (2026)Joanna Landmesser-Rusek et al.2.00
- NATURAL DISASTER REPORT ON SOCIAL MEDIA CLASSIFICATION METHOD BASED ON WORD EMBEDDING AND GRAPH ATTENTION NETWORK (2026)M. Faisal et al.2.00
- Modeling Road User Interactions with Dynamic Graph Attention Networks for Traffic Crash Prediction (2026)Shihan Ma et al.2.00
- A Missing Data Imputation Method for Gas Time Series Based on Spatio-Temporal Graph Attention Network—Echo State Network (2026)Jian Yang et al.2.00
- Physics-Regularized and Safety-Enhanced Bi-GAT Reinforcement Learning Framework for Voltage Control (2026)Hui Qin et al.2.00
- GAT-LA: Graph Attention-Based Locality-Aware Sampling for Modeling the Dynamic Evolution of I2P Routing Topologies (2026)Runnan Tan et al.2.00
- Subway passenger flow prediction based on GAT-LSTM-attention considering the graph construction of passenger flow difference (2026)Xiaolin Bi et al.2.00
- Semi-Supervised Graph Attention Network for Screw Pump Fault Diagnosis: Revealing the Dynamic Coupling of Multi-Source Information (2026)Weigang Wen et al.2.00
- Graph Attention Networks With Dual-Edge Connectivity for Alzheimer’s Disease Detection From Speech (2026)Anass El Hallani et al.2.00
- GATTT: A Multi-stream Spatiotemporal Graph Attention Network with Tangent Space Geometry for Robust ASD Classification (2026)Wanxin Xie2.00
- A Multi-Scale Spatio-Temporal Embedded Graph Attention Network for Traffic Flow Prediction (2026)Aditya Prasad Padhy et al.2.00
- TSConv-GAT: A hybrid temporal-spatial encoder-decoder with mRMR graph topologies using GATv2Conv network for optimizing EEG emotion recognition (2026)A. Abdulwahhab et al.2.00
- Toward Digital Twins for Power-to-X Processes: Comparing Surrogate Models for a Catalytic CO2 Methanation Reactor (2026)Luisa Peterson et al.2.00
- An intelligent method for Buoy meteorological data restoration using a Spatio-Temporal Dual-Attention Network with transformer and GAT (2026)Miaomiao Song et al.2.00
- Physics-Informed and Constraint-Satisfied Graph Attention Network for Solving Optimal Power Flow (2026)Yao Zhang et al.2.00
- A Graph Attention Network for Stock Trend Classification Using Piecewise Linear Representation (2026)Ibanga Kpereobong Friday et al.2.00
- WeaGAN++: An Efficient Weather-Aware Graph Attention Network for Traffic Prediction (2026)Yuxi Wang et al.2.00
- Imputation of flight ground handling node data based on graph attention networks (2026)Yaping Zhang et al.2.00
- Adaptive Fusion of Traces and Logs via Graph Attention for Microservice Anomaly Localization (2026)Yuchen Tang et al.2.00
- A multi-label image classification method via graph attention network with dynamic and static label correlations (2026)Zhiming Li et al.2.00
- Research on inter-well connectivity in CO2 flooding based on long short-term memory graph attention network (2026)Zhenzhen Dong et al.2.00
- Graph Attention Reinforcement Learning for Structured Interaction in Cooperative Decision Networks (2026)Mikkel Jensen et al.2.00
- Learning to Decode: Graph Attention Network-Gated Recurrent Unit as Channel Decoder (2026)Lixin Qian et al.2.00
- SGAT‐SP: Sparse Graph Attention Network for Stock Prediction (2026)Gautam Gupta et al.2.00
- Efficient Probabilistic Forecasting of Solar and Wind Generation Using a GAT-Adapt-Hybrid Diffusion Model (2026)Sudhanshu Kumar et al.2.00
- Adaptive Structural Similarity Guided GCN–GAT Framework for Robust Link Prediction (2026)Shambhu Kumar et al.2.00
- An adaptive fault detection framework based on graph attention network for locomotive diesel engines (2026)Fan Ye et al.2.00
- DyLngGAT: LNG Macro-Trade Risk Prediction Based on Graph Attention Networks (2026)Xiangrong Li et al.2.00
- Introducing Graph Attention Network to Improve Wang Zhengfei Semi-Empirical Model for Accurately Simulating Forest Fire Spread in Western Guizhou Province (2026)Yuying Gong et al.2.00
- Dual Attention Spatio-Temporal Passenger Demand Forecasting Framework for CMRL Using a Graph Attention - Transformer with Exogenous Features Integration (2026)Gayathri Veerichetty et al.2.00
- Heterogeneous UAVs Trajectory Optimization for Post-Disaster Target Search Based on MARL With Graph Attention Network (2026)Tianyong Ao et al.2.00
- Early sepsis prediction using a hybrid LSTM-GAT model: a study on the PhysioNet 2019 dataset (2026)Bahar Khorram et al.2.00
- STGA-Net: Spatio-Temporal Graph Attention Network for Traffic Flow Forecasting on Indian Urban Roads (2026)K. K. Deepthi et al.2.00
- Research on collaborative scheduling and path planning of charging pile groups using graph attention network (2026)Xianliang Wei et al.2.00
- Congestion-Aware Adaptive Routing Based on Graph Attention Networks and Dynamic Cost Optimization (2026)Jun Liu et al.2.00
- A deep learning-based hybrid approach for solar energy prediction using GAT and transformers (2026)Mohammed Owais Khan et al.2.00
- Spatiotemporal Wind Power Forecasting and Grid Consumption Optimization: A GAT-Transformer Model (2026)Jin Tang et al.2.00
- Dynamic spatiotemporal graph attention networks for cross-regional multi-disease forecasting and intervention optimization (2026)Siyan Liu et al.2.00